From Girlhood to Cannibalism - Feminine Abjection and the Monstrous Coming of Age
Bibliographic record
Abstract
In recent years, horror films such as Ginger Snaps (John Fawcett, Canada, 2000), "Jennifer's Body" (Karyn Kusama, USA, 2009), "Raw" (Julia Ducournau, France, 2016), and "Bones and All" (Luca Guadagnino, USA, 2022) have gained a cultish following amongst young women and queer audiences' as these pieces of media center around the feminine adolescent perspective in their journey of self-exploration, transition into womanhood, and survival as they live within the fringes of society or states of social and physical otherness. Through the utilization of the female body as a source of abjection, these films adopt the monstrous feminine archetype, coined by Barabra Creed, to combine the traversing of bodily and social boundaries to express anxieties surrounding female sexual agency and gender expression while allowing the audience to engage with these practices. Through the representations of bodily excesses and their destruction within the channels of feminine biological cycles, spheres of judgment, and transgressions of morality, place social and cultural parameters onto the feminine adolescent body to examine structures that negotiate ones' identity. Within all four films lies this dynamic between the acceptable facets of femininity or consumption and their uncontained counterpart to inspect the "Otherworldly" intimacy that arises from queer female friendships, sisterhood, and partnerships to present various social and physical constraints that inhibit sexual and gender expression.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.025 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".